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fatalities003

  • Posted on 26 Feb 2026

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    New Data Release: Forecasts for Feb 2026–Jan 2029

    The VIEWS forecasts for state-based armed conflict from January 2026 to December 2028 are now available. The dataset includes country-month forecasts and geo-referenced predictions for Africa and the Middle East, detailing expected direct deaths and probabilities.

  • Posted on 30 Jan 2026

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    New Data Release: Forecasts for Jan 2026 – Dec 2028

    The VIEWS forecasts for state-based armed conflict from January 2026 to December 2028 are now available. The dataset includes country-month forecasts and geo-referenced predictions for Africa and the Middle East, detailing expected direct deaths and probabilities.

  • Posted on 31 Dec 2025

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    New Data Release: Forecasts for Dec 2025 – Nov 2028

    The latest VIEWS forecasts for state-based armed conflict are now available, covering the 36-month period from December 2025 through November 2028. The dataset includes global forecasts at the country-month level, along with geo-referenced forecasts at 0.5° spatial resolution for Africa and the Middle East. It captures the following indicators for state-based armed conflict: 📥 Download…

  • Posted on 12 Dec 2025

    New Forecasts of the Deadliest Conflict Zones in 2026

    Press release – original posted by PRIO Ukraine, Palestine/Israel, Sudan, Pakistan and Nigeria are projected to see the highest battle-related death tolls in 2026, according to a world-leading AI-driven conflict forecasting system. The Violence and Impacts Early-Warning System (VIEWS) is an award-winning conflict prediction model developed by the Peace Research Institute Oslo (PRIO) and Uppsala University, that…

  • Posted on 28 Nov 2025

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    New Conflict Forecasting Model Released: Introducing ‘fatalities003’

    We’re thrilled to announce the release of the new fatalities003 conflict prediction model – running on an entirely new production pipeline. What’s New? Building on its predecessor (fatalities002), the new model retains the same sub-model structure, with each sub-model corresponding to a counterpart in the previous version. However, several key changes have been made: Forecasts…

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